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TV GOLDEN AGE: The Artometrics of TV Golden Age

This report analyzes the TidyTuesday 2019-01-08 release on TV Golden Age — 2,266 rows after cleaning and merge.

Artometrics Editorial5 min read
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TV GOLDEN AGE: The Artometrics of TV Golden Age
This report analyzes the TidyTuesday 2019-01-08 release on TV Golden Age — 2,266 rows after cleaning and merge.

This report analyzes the TidyTuesday 2019-01-08 release on TV Golden Age2,266 rows after cleaning and merge. When did prestige TV peak — and did critics agree with audiences?

Five charts track Av rating across time, category, and named entities — trend, leaders, distribution, tiers, and relationships. Where companion files exist in the repo, they are joined before analysis so reception, geography, or metadata columns are not left on the table.

FAST FACTS

2,266Records in the working dataset
8.11Median Av rating
9.68Highest observed Av rating
ParenthoodTop Title by Av rating
1990–2018Year span covered in the file

DATASET CONTEXT

The source is the TidyTuesday release from 2019-01-08 (R for Data Science community). This working file contains 2,266 rows and 8 columns after merging all available CSV/XLSX tables in the week folder.

Charts are exported as Plotly JSON with PNG fallbacks. Medians are used for robustness where distributions skew. Index-style fields (row numbers, sequential IDs) are excluded from metric selection.

How to read this report: start with the chart caption, then ask what the metric actually means, what a non-expert should notice first, and what an expert would challenge in the source. The goal is not to memorize every number; it is to leave with a sharper question than the one you arrived with.

Reader path: if you are new to the topic, treat each chart as a guided tour of one question: who leads, how concentrated the field is, what changes over time, and where the outliers sit. If you already know the domain, use the same charts as a challenge: check whether the metric is the right proxy, whether the source omits an important population, and whether the headline survives the limitations section.

CHART 1 — TREND

Median Av rating Over Time

Median av rating is rising from 7.86 in the opening period to 8.15 at the close.

Annual medians filter one-off spikes so the structural slope — not viral outliers — drives the story.

CHART 2 — LEADERS

Touched by an Angel leads at 9.60 — 9.24 marks the median among the top dozen

Touched by an Angel leads at 9.609.24 marks the median among the top dozen.

Head-of-field concentration is where quality, scale, or brand visibly separates from the pack.

CHART 3 — DISTRIBUTION

Av rating Distribution

Median 8.11 vs mean 8.06 — the shape is relatively symmetric.

The top decile begins at 8.79; that tail is where defining cases live.

Top Title Over Time

The leading names do not move in lockstep — some fade as others surge.

Tracking medians over time separates sustained dominance from one-off spikes.

SUPPLEMENT — RELATIONSHIP

Av rating vs SeasonNumber

Joint plot of av rating and seasonnumber surfaces clusters the averages erase.

Bubble size tracks repeat presence — outliers are archetypes, not noise.

LIMITATIONS

Community-cleaned TidyTuesday snapshots are not live APIs. Missing values, spelling variants, and week-of-export coverage limits apply. Merged tables may fan out or duplicate rows when join keys are imperfect.

Findings describe the file on hand — treat them as structural signals about TV Golden Age, not exhaustive truth about the full domain.

CONCLUSION

Read as a teaching map, TV Golden Age shows why one metric is rarely enough: leaders, tails, trends, and relationships each answer a different question about av rating.

The best reading is modest: use the chart to sharpen the question, then check the source and limits before turning it into a claim.

REFERENCES

Data Science Learning Community. (2019). TidyTuesday: TV Golden Age. https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2019/2019-01-08/IMDb_Economist_tv_ratings.csv

EDITOR'S NOTE

Artometrics data report from the TidyTuesday research pipeline. Charts and aggregates are reproducible from the embedded exhibits and public source files.

View TidyTuesday source on GitHub